pricing
Great pricing plans for every size of business
Create audience segments from on-site behaviour, 3rd-party data or your customer data. Get insights that tell you how to assign budgets, optimize campaigns, promote products
and so much more.
Starter
Ideal for brands looking to better understand how their marketing efforts are truly making an impact. (1k - 3k monthly pageviews)
Starts from
$1,000 USD per month
Provides the most flexibility, 1 month trial, no lock-in
What you get:
Multi-touch attribution across all your channels
Monthly department level reporting (online & pdf)
Managed setup - access to 30+ standard reports
Access to custom reports
Quarterly strategy meeting
Professional
For brands looking to understand true customer LTV & ROI through attribution modelling. Actioning insights through our site personalization and AB testing tech. (3k - 300k monthly pageviews)
Starts from
$2,500 USD per month
Medium level of flexibility, 3 month minimum agreement
What you get:
Up to 10 user accounts
Multi-touch attribution across all your channels
Monthly department level reporting (online & pdf)
Site Personalization & AB testing
Monthly strategy meeting
Custom LTV & ROI Analysis
Custom API access
Enterprise
Enterprise brands that are looking for bespoke analytics and marketing automation services with a dedicated analytics team to support and help strategize the overall marketing plan. (300k - 1m+ monthly pageviews)
Starts from
Custom
Completely tailored partnership for your analytics needs
What you get:
Up to 30 user accounts
Multi-touch attribution across all your channels
Monthly department level reporting (online & pdf)
Dedicated Analyst
Fortnightly strategy meetings
Custom attribution modelling
Custom dimensions & metrics
Meaningful Performance Measurement
Whilst most analytics platforms provide you with an entry point to look at top level channel performance, or visits and engagement over time, the data is not organized in a way which leads to actionable insights. So you got more traffic? Why? Who were those visitors? What did this do for your business?
Incendium tracks a much broader array of metrics, but organizes the data in a way that is completely customized to your own customer journeys. Insights jump straight out of the dashboard, and allow you to make bold changes to your business with confidence.
Our aligned Sales & Marketing dashboard tracks Prospects through each stage of their journey to becoming a customer. It can quickly show you where your optimization opportunities are and what the potential impact will be. Quickly cut wasteful marketing expenditure, improve your sales team performance and grow your lead pipeline.
Unparalleled Attribution Scope
Mass-market analytics are fundamentally flawed when it comes to measuring b2b pipelines. Even with custom coding and APIs it is impossible to pull revenue data into them and match it to a user journey. So you can never know the ROI of a keyword in a PPC campaign and forget trying to carry out attribution modeling for channel performance.
Incendium solves this, closing the loop and providing full attribution modeling on top.
Understanding Engagement With Completely New Metrics
With all the engagement metrics in the world, from Time in View to Scroll velocity, measurement of behavior is still subjective. What is a good Time-On-Page? How many pages should people visit in a session?
Incendium uses a new metric called ‘Page Effectiveness’ which takes into account audience data, buying journey stages and the purpose of the page they are visiting to decide if the pageview should be marked ‘Effective’ or not. For example, if someone lands on a category page, and clicks through to a product straight away, traditionally this would be seen as negative due to a quick time on page. However the page did it’s job, and the speed actually suggests it did it very well. Incendium sees this in-content click from a landing visit on a category page and registers an effective pageview.
Analytics has evolved. Book a demo with our team and find out how we can change the way you look at your data and optimize your pipelines.
